Classification results of coronary heart disease database by using the clonal selection method with receptor editing
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
145-150 頁
2008-12 発行
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この文献の参照には次のURLをご利用ください : https://ir.lib.hiroshima-u.ac.jp/00025636
| ファイル情報(添付) | |
| タイトル ( eng ) |
Classification results of coronary heart disease database by using the clonal selection method with receptor editing
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| 作成者 |
Sakamoto Yasuaki
Ichimura Takumi
Hara Akira
Takahama Tetsuyuki
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| 収録物名 |
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
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| 開始ページ | 145 |
| 終了ページ | 150 |
| 抄録 |
The clonal selection principle is used to explain the basic features of an adaptive immune response to a antigenic stimulus. It established the idea that only those cells that recognize the antigens are selected to proliferate and differentiate. This paper explains a computational implementation of the clonal selection principle that explicitly takes into account the affinity maturation of the immune response. The clonal selection algorithm by incorporating receptor editing method, RECSA, has been proposed by Gao. This paper tries to classify the medical database of Coronary Heart Disease databases and reports the computational results for 4 kinds of training datasets.
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| NDC分類 |
技術・工学 [ 500 ]
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| 言語 |
英語
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| 資源タイプ | 会議発表論文 |
| 出版者 |
IEEE SMC Hiroshima Chapter
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| 発行日 | 2008-12 |
| 権利情報 |
(c) Copyright by IEEE SMC Hiroshima Chapter.
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| 出版タイプ | Version of Record（出版社版。早期公開を含む） |
| アクセス権 | オープンアクセス |
| 収録物識別子 |
[ISSN] 1883-3977
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